dierk/vector-search-demo
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Author SHA1 Message Date
dierk 4a82352391 Document CLIP model source in embedder.py and README 
Model downloads automatically from HuggingFace Hub on first use.
No manual download required.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-20 12:04:10 +02:00
dierk 1c5e00d8e4 Add targeted comments explaining non-obvious behaviour 
- embedder.py: lazy model load rationale, RGB conversion, shared vector space
- main.py: why vec appears twice, ::vector cast, 1-distance score formula
- main_oracle.py: why array.array("f") is required instead of plain list
- main_oracle_indb.py: no embedder import — embedding done inside Oracle SQL
- index_images_oracle.py: same array.array requirement on indexing path

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 14:39:40 +02:00
dierk 66f7db40b0 Initial implementation of pgvector and Oracle 26ai vector search demo 
Three FastAPI backends comparing PostgreSQL/pgvector and Oracle 26ai for
semantic image search using CLIP embeddings: Python-side embedding for both
databases, plus Oracle in-database embedding via VECTOR_EMBEDDING(CLIP_TXT).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 11:33:16 +02:00